Senior AI Data Analyst

Who you are

• 5–8+ years in Data Analytics, Analytics Engineering, or BI
• Advanced SQL; experience with Snowflake/BigQuery/Redshift
• Strong SaaS/sales metrics background (ARR, pipeline gen, coverage, win rate, quota attainment, forecast accuracy)
• Hands-on BI/planning tools (Pigment, Looker, Tableau, Power BI, Mode)
• Experience supporting enterprise Sales/RevOps, including GTM planning
• Genuine interest in AI-native analytics (LLM-assisted analysis, skills-as-code, governed data access)
• Pigment experience
• Salesforce, Gong, Clari, Outreach/Salesloft, Segment, or Amplitude
• Claude Code or MCP-based data access experience
• Dbt, Python, or analytics engineering background
• B2B enterprise SaaS experience
• Familiarity with complex, multi-segment sales/forecasting motions

What the job involves

• Owns the data strategy powering the global Sales org — pipeline health, forecasting, sales planning (capacity, quota, territory, headcount), and pipeline/revenue growth across enterprise accounts
• Sits between analytics, data engineering, and business strategy; partners with Sales leadership, RevOps, Marketing, and Finance
• Contributes to GTM Cortex, the company’s GTM analytics/orchestration layer:
• Builds analytical “skills” as version-controlled code (atomic to composite), tested and maintained in GitHub
• Works in Claude Code, querying live Pigment data through the Pigment MCP
• References a central KPI Catalog rather than redefining metrics ad hoc
• Converts recurring sales questions into reusable skills instead of one-off analyses
• Drives adoption of Analyst/Modeler AI agents across Sales
• Executive & Operational Analytics:
• Owns dashboards: pipeline generation, coverage, forecast, win rates, sales cycle, quota attainment, ARR, net-new vs. expansion
• Builds Pigment models and opportunity-level datasets for pipeline, capacity, revenue
• Standardizes metrics/definitions across teams and regions
• Planning & Capacity Modeling:
• Analytics backbone for annual and in-year sales planning cycles
• Builds/maintains capacity, quota, productivity models in Pigment
• Models headcount and territory scenarios; runs what-if analysis against historical performance
• Data Architecture & Automation:
• Designs data pipelines from Salesforce, Pigment, Gong, Netsuite, etc
• Partners with Data Engineering on dbt/warehouse transformations
• Builds AI skills on Pigment MCP for recurring reports and event-driven alerts
• Owns data quality, governance, documentation
• Business Partnership:
• Analytics partner to Sales leadership and regional orgs
• Answers questions like: what’s driving win rate/cycle changes, where is coverage weakest, how does pipeline quality
• Enablement:
• Builds role-based reporting for reps, managers, execs
• Trains Sales teams on data use in pipeline reviews, QBRs, forecast calls
• Drives adoption of AI-driven workflows
• Success Metrics:
• Sales leadership relies on insights for pipeline, forecast, capacity planning
• Risks surfaced early, not just reported
• Dashboards/AI skills used in every pipeline review and QBR
• Growing library of reusable analytics skills reduces one-off requests
• Planning cycles run on these models
• Data is trusted, consistent, embedded in workflows

The application process

• We conduct background checks as part of our hiring process, in accordance with applicable laws and regulations in the countries where we operate

Benefits

• Healthcare including dental
• Brand new offices in the heart of Paris, London (Liverpool Street), New York and Toronto
• Hybrid work policy (40% remote)
• One company offsite every year in Paris
• Generous maternity (16 weeks full pay) /paternity leave (5 weeks full pay + 4 weeks half time work but fully paid)
• 50% home work stipend covered by Pigment
• Free Lunches
• Monthly office socials. Quarterly team socials
• 50% travel paid for